Modeling, control, and design of hybrid electrical and thermal energy storage systems

Advances in power density, energy storage technology, and thermal management are crucial to the increased electrification of vehicles, including those with high ramp rate loads such as heavy construction and military vehicles. In this thesis, a hybrid electro-thermal energy storage system is introduced which offers a power-dense electro-thermal energy storage solution for future electrified vehicles. This energy storage system includes energy-dense batteries and power-dense ultracapacitors for electrical energy storage, and PCM thermal energy storage modules and coolant loops for thermal energy storage. Multi-domain graph-based modeling techniques are used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and control parameters of the electro-thermal energy storage system are optimized using a graph-based optimization framework. Optimized designs demonstrate significant reductions in size while retaining a high level of performance, leading to improvements in power density. A multi-domain optimization formulation is compared to optimization subroutines which individually optimize parameters pertaining the electrical and thermal domains. Additionally, the multi-domain sizing and control optimization study is compared to a similar study in which the control parameters are not optimized. The results accentuate the importance of considering multi-domain dynamics as well as control in the design process for dynamic systems.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2021

Author dc:creator

• Laird, Cary

Contributors dc:contributor

• Alleyne, Andrew G

• Physics-Based Modeling
• Control Systems
• Mobile Energy Systems
• Energy Storage Systems
• Design Optimization

Statement dc:rights

• Copyright 2021 Cary Laird

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/110452

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/110452